Sales - Machine Learning Engineer, Computer Vision

Summary

Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We are looking for a highly skilled and experienced Computer Vision and Generative AI engineer to help work on exciting technologies for future Apple products and bring it to live. In this role, you will join a team of computer vision and machine learning engineers to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.

Description

In this role, you will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers, have deep expertise in both practical and theoretical aspects of 3D Computer Vision algorithms. This includes proficiency in generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking. This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.

Minimum Qualifications

5+ years building NLP/AI software professionally and successfully releasing to customers 5+ years of industry experience in CVML and an advanced degree (Ph.D./M.Sc.) in CVML or similar field A strong track record of shipping products and publications / patents Strong experience in 3D Computer Vision algorithms Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy,Keras) Solid programming skills with C/C++ and Swift Ph.D. in Computer Science, Machine Learning, Computer vision or related field or M.S. in related field applying Computer Vision machine learning

Preferred Qualifications

Experience in machine learning, preferably in 3D computer vision applications Solid foundation in 3D geometry and linear algebra Experience with human factors, especially eye tracking and human input interaction. Experience in 3D graphics and rendering Experience in modern Novel View Synthesis methods, suchas NeRF, Gaussian Splatting, etc., is a plus Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design